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well as for validation of numerical simulation results. As part of the work task, we expect machine learning to be employed to improve accuracy and efficiency of numerical methods, combining advanced technology with
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, we expect machine learning to be employed to improve accuracy and efficiency of numerical methods, combining advanced technology with scientific research. About the Department of Mathematics at UiB
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for giga-scale CO2 storage. Concretely, this PhD project will look at the theoretical foundation and associated numerical and computational methods for large scale poroelastic response on the basin scale
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computational methods for large scale poroelastic response on the basin scale - thus covering multiple CO2 storage locations. This may involve mathematical topics such as upscaling, homogenization and numerical
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storage. Concretely, this PhD project will look at the theoretical foundation and associated numerical and computational methods for large scale poroelastic response on the basin scale - thus covering
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within CSSR at the Department of Physics and Technology. Specifically, it is envisioned to develop and analyze new mathematical and numerical methods for processing 4D spatial and temporal data